SOURCE-LINKED INTELLIGENCE
SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized Slip Detection
Slip detection is fundamental to dexterous manipulation, yet existing systems often lack precise characterization of detection latency and cross-platform generalization. We present SlipSense, a multimodal tactile slip-detection framework built on TacV5, a compact sensor integrating a $32 \times 32$ piezoresistive array operating at 240 Hz and a 3-axis MEMS accelerometer operating at 8 kHz. The piezoresistive array captures spatial pressure distributions, while the accelerometer captures friction-induced vibrations, providing complementary slip cues. The framework performs modality-specific enc
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T17:23:59.000Z
First collected: 2026-09-20T09:41:04.278Z. This is not the publication date.